The result of a metric computation.
Each MetricResult contains:
-
name: The name of the metric.
-
scope: The scope of the metric (binary, micro, macro, class).
-
type: The type of the metric (probs, labels, etc).
-
value: The computed metric value.
-
metadata: Optional additional information about the computation.
Source code in metrics_toolbox/metrics/results.py
| @dataclass(frozen=True)
class MetricResult:
"""The result of a metric computation.
Each MetricResult contains:
- name: The name of the metric.
- scope: The scope of the metric (binary, micro, macro, class).
- type: The type of the metric (probs, labels, etc).
- value: The computed metric value.
- metadata: Optional additional information about the computation.
"""
name: MetricNameEnum
scope: MetricScopeEnum
type: MetricTypeEnum
value: float
metadata: Optional[Dict[str, Any]] = None
def __repr__(self) -> str:
return (
f"MetricResult(\n"
f" name={self.name.value}, scope={self.scope.value}, type={self.type.value}, \n"
f" value={self.value}, \n"
f" metadata={self.metadata}\n"
)
|